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Deep Learning Research Intern Jobs in Oregon (NOW HIRING)

$32 - $40/hr

The intern will explore applications of Agentic and Generative AI in healthcare, supporting ... Hands-on experience with working with Machine Learning and Deep Learning models. Experience with ...

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... Hands-on experience with working with Machine Learning and Deep Learning models. Experience with ...

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... Hands-on experience with working with Machine Learning and Deep Learning models. Experience with ...

Summer Intern - Food Safety

Merrill, OR · On-site

$13.75 - $18.25/hr

Food Safety Field Researcher Intern Duncan Family Farms Location: Goodyear, AZ Schedule: Paid ... Learning the ins and outs of organic integrity and agronomy * Organize and summarize data into ...

$32 - $40/hr

Hands-on experience with working with Machine Learning and Deep Learning models. Experience with ... Intern Employment Type: OTHER

OR

$466K - $750K/yr

As such, our research spans many Artificial Intelligence and Machine Learning areas, including Large Language Models (LLMs) and other foundation models, deep learning, search and recommender systems ...

This role develops and deploys deep learning models across digital pathology, genomics ... Proven ability to take ownership of research projects and translate prototypes into robust ...

... deep learning. Assists in implementing and tuning models for performance and accuracy, applied ... research, and hardware software integration. May also include the creation of AI software solutions ...

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Deep Learning Research Intern information

See Oregon salary details

$8

$18

$27

How much do deep learning research intern jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for deep learning research intern in Oregon is $18.18, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $20.34 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Deep Learning Research Intern, and why are they important?

To thrive as a Deep Learning Research Intern, you need a strong grasp of machine learning fundamentals, programming skills (especially in Python), and a background in mathematics or computer science, often supported by relevant coursework or research experience. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and proficiency in using data processing and visualization tools are typically expected. Creativity, problem-solving abilities, and effective communication help interns contribute novel ideas and collaborate within research teams. These skills are vital for developing, testing, and presenting cutting-edge AI models and solutions in a fast-evolving field.

What does a Deep Learning Research Intern do?

A Deep Learning Research Intern assists in the development and experimentation of machine learning models, particularly neural networks, to solve complex problems in fields like computer vision, natural language processing, or robotics. They typically work under the guidance of experienced researchers, contributing to tasks such as data preprocessing, model training, and result analysis. Interns may also help implement and optimize algorithms, read and summarize research papers, and prepare reports or presentations on their findings. This role provides hands-on experience with state-of-the-art AI technologies and research methodologies.

What are some common challenges faced by Deep Learning Research Interns, and how can they overcome them?

Deep Learning Research Interns often encounter challenges such as managing complex datasets, tuning neural network architectures, and keeping up with the latest research developments. It's common to spend significant time troubleshooting code or optimizing models for better performance. Collaborating closely with mentors and team members, actively participating in research discussions, and consistently reading recent papers can help interns overcome these hurdles. Utilizing open-source tools and frameworks, along with clear documentation practices, also streamlines the research process.
What are popular job titles related to Deep Learning Research Intern jobs in Oregon? For Deep Learning Research Intern jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Deep Learning Research Intern jobs? Cities in Oregon with the most Deep Learning Research Intern job openings:
Research Scientist Intern (2025)

Research Scientist Intern (2025)

Whiterabbit.ai

Salem, OR

Other

Posted 26 days ago


Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity